This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
Informações sobre o curso
Habilidades que você terá
Universidade do Colorado em Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
- 5 stars73,97%
- 4 stars21,34%
- 3 stars3,15%
- 2 stars0,57%
- 1 star0,95%
Principais avaliações do INTRODUCTION TO DATA ANALYTICS FOR BUSINESS
I love this course. the lecture teach me to have a framework of thinking to become an analyst. Although some course need more references from internet, overall the course is great
It's a good course to get the feeling about Data and Analytics. For me it was quite redundant information but a good way to get familiar with the way Coursera and specific this course is working.
The content of the course is really good, so is the teacher. The final exam and that it's rated by peers is not optimal tho. Feedback from an expert would be nice there, even if it takes a bit longer
Very good introduction course. Clear and understandable explanations for beginners, good structure and helpful examples. Also the provided slides are beneficial for later reference and repetition.
Sobre Programa de cursos integrados Advanced Business Analytics
The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.
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